View source: R/ClusterStabilityAnalysis.R
Cluster Stability Testing/Quantification Subset and cluster multiple times (store cluster assignments in table) Then 1) find a way to assign universal names for clusters and 2) quantify cluster stability for each cluster, and also 3) quantify often each data point (cell) is assigned to its primary cluster Get dbscan clusters across multiple iterations
1 2 | iterate_dbscan_clusters(input_dataset = NULL, subsample_size = NULL,
num_iterations = 50, minPts = 50)
|
input_dataset |
matrix to be clustered on |
subsample_size |
number of subsamples to take in each clustering iteration |
num_iterations |
number of rounds of clustering to test before stability analysis |
minPts |
hdbscan parameter |
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